The Korean Society for Journalism & Communication (KSJCS)
[ Article ]
Korean Journal of Journalism & Communication Studies - Vol. 67, No. 1, pp.5-40
ISSN: 2586-7369 (Online)
Print publication date 28 Feb 2023
Received 12 Aug 2022 Revised 14 Jan 2023 Accepted 19 Jan 2023
DOI: https://doi.org/10.20879/kjjcs.2023.67.1.001

게임이용에 따른 청소년의 사회자본·삶만족도/고독감·우울증의 성장궤적 연구 : 잠재성장모형(LGM)을 중심으로

박혜영***
***한신대학교 미디어영상광고홍보학부 조교수 cheerupyou@hs.ac.kr
Youth Game Use and the Growth Trajectory of Social Capital, Life Satisfaction, Loneliness, and Depression : A Latent Growth Model Study (LGM)
Hyeyoung Park***
***Ph.D. Assistant Professor, Division of Advertising, PR & Visual Communication, Hanshin University cheerupyou@hs.ac.kr

초록

시간의 경과에 따른 게임이용에 대한 설명이나 예측이, 기존에 다뤄지던 변수들의 영향 관계에 대한 일관적이지 않은 결과들을 정리해줄 것으로 기대해, 한국콘텐츠진흥원에서 제공하는 게임이용자패널데이터 5차 년도의 자료를 중심으로 종단연구를 진행했다. 이 연구에서는 패널자료를 통해 각 종속변수의 초기치와 선형변화율을 예측하고, 이를 게임선용과 게임과몰입을 통제한 조건모형과 비교하는 가운데 게임이용의 긍정적, 부정적 영향력에 대해 동시에 설명해 보고자 하였다. 분석 결과, 첫째, 청소년의 사회자본, 삶만족도, 고독감, 우울증에 대한 성장궤적은 삶만족도의 경우 해마다 감소하며 초기에 그 값이 큰 청소년의 속도는 점점 느려지며 우울증은 해마다 증가하는데 증가속도는 감소하는 것으로 나타났다. 둘째, 청소년의 게임선용과 게임과몰입 국면에서 게임선용은 해마다 감소하고, 게임과몰입은 해마다 증가하며 둘다 초기값이 클수록 증가속도가 느린 것으로 나타났다. 셋째, 긍정적 효과로 논의되어온 사회자본, 삶만족도에 대해 게임선용이 통제된 상태에서의 영향관계를 살펴본 결과, 게임선용이 삶만족도에 긍정적 영향을 미친다는 결과를 도출했다. 넷째, 부정적 효과로 논의되어온 고독감, 우울증의 경우 게임과몰입이 통제된 상태에서의 영향관계를 분석한 결과, 청소년의 고독감에 게임과몰입은 정적 영향을 미치는 것으로 보이지만 결과적으로 긍정적인 것으로 나타났다. 이 연구에서는 게임의 긍정적 측면이라고 할 수 있는 게임선용이 삶만족도에 영향을 미치는 동시에, 부정적 측면인 게임과몰입 역시 고독감에 긍정적 영향을 미치는 것으로 밝혀졌다. 게임이용은 양날의 검처럼 긍, 부정적 측면을 동시에 지니고 있으므로 확장된 미디어로서 게임을 일상의 도구로 활용할 수 있도록 사회적 차원에서의 노력과 개인적 차원에서의 게임 리터러시 향상 등이 필요한 부분이며, 긍정적 측면에서의 논의들이 보다 확장되어야 할 것을 제안했다. 이에 미디어 학자들의 지속적 관심이 필요하며 게임이용에 대한 미디어 연구가 축적될 때 게임에 대한 사회적 논의가 더욱 실효성을 찾을 수 있을 것으로 보았다.

Abstract

Previous research has demonstrated the inconsistency of explanations for game use over time or predictions of game use. As a result, a longitudinal analysis was carried out on the data from the 5 years of a panel data(2014~2018) provided by the Korea Creative Content Agency. Each dependent variable's starting value and linear rate of change in this study were predicted using the panel data. A conditional model that controlled ‘adaptive game use’ and ‘game over-immersion’ was contrasted with this prediction model. This way, both the advantages and disadvantages of game use could be explained. First, the analysis revealed a downward trend in the growth trajectory of teenagers' social capital, life satisfaction, loneliness, and depression. The rate of decline slowed down with time for teenagers with high initial values. Despite an annual increase in depression prevalence, the rate of growth slowed. Second, in the phase of adaptive game use and game over-immersion among adolescents, adaptive game use decreases year by year, and game over-immersion increases every year, and the higher the starting value of both, the slower the rate of increase. Third, as a result of examining the relationship in which ‘adaptive game use’ is controlled for social capital and life satisfaction, which have been discussed as positive effects, the result is that ‘adaptive game use’ has a positive effect on life satisfaction. Fourth, in the case of loneliness and depression, which have been discussed as negative effects, as a result of analyzing the influence relationship in the controlled state of ‘game over-immersion’, it was found that game over-immersion had a positive effect on loneliness in adolescents. In this study, it was found that the positive aspect of games, adaptive game use, affects life satisfaction, while the negative aspect, overindulgence in games, also affects loneliness. According to this study, playing games "adaptively" has a beneficial impact on life satisfaction, and also "over-immersion" in games has a beneficial impact on loneliness. Game use has both advantages and disadvantages, making it a two-edged sword. For games to be used as regular tools and expanded media, social efforts must be made, as well as personal efforts to increase game literacy. As a result, media scholars' interest is urged, and when media studies on game use are accumulated, social discussions on games will be more effective.

Keywords:

Game, Social Capital, Life Satisfaction, Loneliness, Depression

키워드:

게임이용, 사회자본, 삶만족도, 고독감, 우울증

Acknowledgments

This study was supported by the hanshin University(이 연구는 한신대학교의 연구비 지원을 받아 수행된 연구임).

This study was based on the data of Korea Creative Content Agency(이 연구는 한국콘텐츠진흥원 데이터를 활용하였음).

References

  • Ahmadi, J., Amiri, A., Ghanizadeh, A., Khademalhosseini, M., Khademalhosseini, Z., Gholami, Z., & Sharifian, M. (2014). Prevalence of addiction to the internet, computer games, DVD, and video and its relationship to anxiety and depression in a sample of Iranian high school students. Iranian Journal of Psychiatry and Behavioral Sciences, 8, 75-80.
  • American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders: DSM-5 (Vol. 5, No. 5). Washington, DC: American Psychiatric Association. [https://doi.org/10.1176/appi.books.9780890425596]
  • Bae, S. M. (2015). Factors related to internet game addiction of adolescents by gender. Korean Journal of Youth Studies, 22(8), 385-405.
  • Baek, K., Yoo, M., Kang, H., & Cho, M. (2020). The influence of social relationship on adaptive and maladaptive game use. Journal of the Korea Contents Association, 20(4), 77-85.
  • Baek, S. (2019). A study on the effects of game motivation, game efficacy, game norm and game recognition on game use of good : Focused on multilevel model analysis. Korean Journal of Communication & Information, 98, 86-125. [https://doi.org/10.46407/kjci.2019.12.98.86]
  • Bollen, K. A., & Curran, P. J. (2006). Latent curve models: A structural equation perspective. John Wiley & Sons. [https://doi.org/10.1002/0471746096]
  • Bourdieu, P., (1986). The forms of capital. In J. G. Richardson (Ed.), Handbook of theory and research for the sociology of education (pp. 241-258). Westport, CT: Greenwood Press.
  • Brunborg, G. S., Mentzoni, R. A., & Frøyland, L. R. (2014). Is video gaming, or video game addiction, associated with depression, academic achievement, heavy episodic drinking, or conduct problems? Journal of Behavioral Addictions, 3, 27-32. [https://doi.org/10.1556/JBA.3.2014.002]
  • Cho, M. S. (2012). Internet and the change of daily culture of youth -Focused on the online game culture of youth-. Forum for Youth Culture, 30, 84-99.
  • Choi, S. (2019). A study on the effect of juvenile game play on future happiness - Focus on the mediating role of trusting others. Journal of Korea Game Society, 19(1), 109-119. [https://doi.org/10.7583/JKGS.2019.19.1.109]
  • Cole, H., & Griffiths, M. D. (2007). Social interactions in massively multiplayer online role-playing gamers. Cyberpsychology & Behavior, 10(4), 575-583. [https://doi.org/10.1089/cpb.2007.9988]
  • Diener, E. D., Emmons, R. A., Larsen, R. J., & Griffin, S. (1985). The satisfaction with life scale. Journal of Personality Assessment, 49(1), 71-75. [https://doi.org/10.1207/s15327752jpa4901_13]
  • Durkin, K., & Barber, B. (2002). Not so doomed: Computer game play and positive adolescent development. Journal of Applied Developmental Psychology, 23(4), 373-392. [https://doi.org/10.1016/S0193-3973(02)00124-7]
  • Ferguson, C. J., & Wang, C. J. (2021). Aggressive video games are not a risk factor for mental health problems in youth: A longitudinal study. Cyberpsychology, Behavior, and Social Networking, 24(1), 70-73. [https://doi.org/10.1089/cyber.2020.0027]
  • Gentile, D. A., Choo, H., Liau, A., Sim, T., Li, D., Fung, D., & Khoo, A. (2011). Pathological video game use among youths: A two-year longitudinal study. Pediatrics, 127, 319-329. [https://doi.org/10.1542/peds.2010-1353]
  • Gim, H., & Ryu, S. (2019). A study on adolescents and games from the viewpoint of interaction ritual. Korean Journal of Cultural Sociology, 27(1), 77-157. [https://doi.org/10.17328/kjcs.2019.27.1.002]
  • Griffiths, M. D. (2002). The educational benefits of videogames. Education and Health, 20(3), 47-51.
  • Helliwell, J. F. (2006). Well‐being, social capital and public policy: What's new? The Economic Journal, 116(510), 34-45. [https://doi.org/10.1111/j.1468-0297.2006.01074.x]
  • Hellman, M., Schoenmakers, T. M., Nordstrom, B. R., & Van Holst, R. J. (2013). Is there such a thing as online video game addiction? A cross-disciplinary review. Addiction Research & Theory, 21(2), 102-112. [https://doi.org/10.3109/16066359.2012.693222]
  • Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: Conceptual foundations. Journal of Marketing, 60(3), 50-68. [https://doi.org/10.1177/002224299606000304]
  • Jansz, J., & Martens, L. (2005). Gaming at a LAN event: The social context of playing video games. New Media & Society, 7(3), 333-355. [https://doi.org/10.1177/1461444805052280]
  • Jeong, E. J., Kim, D. J., Lee, D. M., & Lee, H. R. (2016, January). A study of digital game addiction from aggression, loneliness and depression perspectives. Paper presented at the 2016 49th Hawaii International Conference on System Sciences (HICSS). [https://doi.org/10.1109/HICSS.2016.470]
  • Jeong, H., Yim, H. W., Lee, S. Y., Lee, H. K., Potenza, M. N., Jo, S. J., & Son, H. J. (2019). Reciprocal relationship between depression and Internet gaming disorder in children: A 12-month follow-up of the iCURE study using cross-lagged path analysis. Journal of Behavioral Addictions, 8(4), 725-732. [https://doi.org/10.1556/2006.8.2019.74]
  • Jin, B. J., & Lee, J. H. (2019). An analysis on the longitudinal relationship between game over-indulgence and loneliness amongst adolescents: Utilizing a latent growth curve model. Studies on Korean Youth, 30(3), 155-184. [https://doi.org/10.14816/sky.2019.30.3.155]
  • Jo, H., & Cho, H. (2013). Analysis of the relationship between game behavior and self-initiative of teenagers. Korean Journal of Youth Studies, 20(6), 127-146.
  • Jung, H. (2016, 5, 3). ‘Gamer ≒ Drug addiction’ established in Korea. SmartPC Love. Retrieved from https://www.ilovepc.co.kr/news/articleView.html?idxno=12915
  • Katz, E. (1974). Utilization of mass communication by the individual. In J. G. Blumler & E. Katz (Eds.), The uses of mass communications: Current perspectives on gratifications research (pp. 19-32). CA: Sage.
  • Kim, H., & Chang, B. H. (2020). Does game use affect life satisfaction?: Focusing on the mediating effects of flow. Journal of Speech, Media & Communication Research, 19(2), 7-47.
  • Kim, H. H., & Ahn, S. J. G. (2016). How does neighborhood quality moderate the association between online video game play and depression? A population-level analysis of Korean students. Cyberpsychology, Behavior, and Social Networking, 19(10), 628-634. [https://doi.org/10.1089/cyber.2016.0155]
  • Kim, H. S., Choi, S., & Lee, E. (2019). Effects of video game play on adolescents’ mental health and academic performance : A dynamic panel data analysis. Journal of Communication Research, 56(2), 243-289.
  • Kim, J. W., Lee, H. R., & Jeng, E. J. (2015). The effect of game players personality, social capital and adaptive game use on life satisfaction. Journal of The Korean Society for Computer Game, 28(4), 135-142.
  • Kim, M. K. (2018). A study on the meaning of game policy through the amendment of game law. Review of Culture and Economy, 21(2), 53-88. [https://doi.org/10.36234/kace.2018.21.2.53]
  • Kim. S. (2016). Basic concepts and extensions of structural equation models. Seoul: Hakjisa.
  • Kim, S., & Kwon, J. (2018). Effects of emotion experiences and gaming motivations on internet gaming behaviors in daily life: An ecological momentary assessment study. Korean Journal of Clinical Psychology, 37(4), 573-589. [https://doi.org/10.15842/kjcp.2018.37.4.009]
  • Kim, Y., & Lee, S. (2019). Adolescents’ self-control and big five personality types affecting maladaptive and adaptive computer game use state. Journal of the Korea Industrial Information Systems Research, 24(4), 65-77.
  • Kim, Y. J. (2011). A study on the influence of personal characteristics and interpersonal relationship on the online game over flow. Seoul: Seoul National University of Science and Technology.
  • Knight, R. G., Chisholm, B. J., Marsh, N. V., & Godfrey, H. P. (1988). Some normative, reliability, and factor analytic data for the revised UCLA Loneliness Scale. Journal of Clinical Psychology, 44(2), 203-206. [https://doi.org/10.1002/1097-4679(198803)44:2<203::AID-JCLP2270440218>3.0.CO;2-5]
  • Kobayashi, T. (2010). Bridging social capital in online communities: Heterogeneity and social tolerance of online game players in Japan. Human Communication Research, 36(4), 546-569. [https://doi.org/10.1111/j.1468-2958.2010.01388.x]
  • Korea Creative Content Agency. (2010). CSG (Comprehensive Scale for Assessing Game Behavior) Manual.
  • Korea Creative Content Agency. (2011). 2011 Game User Survey.
  • Korea Creative Content Agency. (2019). 2019 Game User Survey.
  • Korea Creative Content Agency. (2021). 2021 Game User Survey.
  • Kraut, R., Patterson, M., Lundmark, V., Kiesler, S., Mukophadhyay, T., & Scherlis, W. (1998). Internet paradox: A social technology that reduces social involvement and psychological well-being?. American Psychologist, 53(9), 1017. [https://doi.org/10.1037/0003-066X.53.9.1017]
  • Kwon, J. (2004). A qualitative case study on the effectiveness of game-type replacement therapy in the treatment of game addiction in adolescents. Adolescent Studies, 11(3), 93-114.
  • Lee, H. G. (2003). Effects of individual- and social-related factors and motives for game playing on game concentration and game addiction. Korean Journal of Youth Studies, 10(4), 355-380.
  • Lee, H. R., & Jeong, E. J. (2015). The influence of players’ self-esteem, game-efficacy, and social capital on life satisfaction focused on hedonic and eudaimonic happiness. Journal of Korea Multimedia Society, 18(9), 1118-1130. [https://doi.org/10.9717/kmms.2015.18.9.1118]
  • Lee, K. J., & Lim, J. (2020). Trajectory of game experience and social capital for Korean adolescent game users. Social Welfare Policy, 47(3), 287-313.
  • Lee, S., Lee, D., & Jeong, E. J. (2018). Effects of random reward items use on adolescents’ game addiction change : Focus on self esteem, depression, self-control, material value, and game cognition. Journal of Korea Game Society, 18(1), 51-61. [https://doi.org/10.7583/JKGS.2018.18.1.51]
  • Lee, S. C., Kim, N. H., & Seo, Y. H. (2003). The effect of flow and addiction upon satisfaction and customer loyalty in online games. Korean Management Review, 32(5), 1479-1501.
  • Martončik, M., & Lokša, J. (2016). Do World of Warcraft (MMORPG) players experience less loneliness and social anxiety in online world (virtual environment) than in real world (offline)? Computers in Human Behavior, 56, 127-134. [https://doi.org/10.1016/j.chb.2015.11.035]
  • Mason, W. A. (2001). Self-esteem and delinquency revisited (again): A test of Kaplan's self-derogation theory of delinquency using latent growth curve modeling. Journal of Youth and Adolescence, 30(1), 83-102. [https://doi.org/10.1023/A:1005276905961]
  • Miller, T. R., & Cleary, T. A. (1993). Direction of wording effects in balanced scales. Educational and Psychological Measurement, 53(1), 51-60. [https://doi.org/10.1177/0013164493053001004]
  • Novak, T. P., Hoffman, D. L., & Yung, Y. F. (2000). Measuring the customer experience in online environments: A structural modeling approach. Marketing Science, 19(1), 22-42. [https://doi.org/10.1287/mksc.19.1.22.15184]
  • Park, H. (2021). A study on the usage estimation of adolescent game players : Longitudinal analysis using latent growth model(LGM). Journal of Speech, Media & Communication Research, 20(3), 321-373. [https://doi.org/10.51652/ksmca.2021.20.3.9]
  • Park, H., Kim, H., & Ryu, S. (2011). An exploratory study on the social capital and subjective well-being in social network games. Journal of Korea Game Society,11(4),105-116. [https://doi.org/10.7583/JKGS.2011.11.4.105]
  • Park, J., & Chung, H.(2013). Exploring the links between psychological traits and game immersion in a children and adolescent sample. Journal of the Korea Contents Association, 13(11), 665-676. [https://doi.org/10.5392/JKCA.2013.13.11.665]
  • Pontes, H. M., & Griffiths, M. D. (2014). Assessment of internet gaming disorder in clinical research: Past and present perspectives. Clinical Research and Regulatory Affairs, 31(2-4), 35-48. [https://doi.org/10.3109/10601333.2014.962748]
  • Primack, B. A., Swanier, B., Georgiopoulos, A. M., Land, S. R., & Fine, M. J. (2009). Association between media use in adolescence and depression in young adulthood: A longitudinal study. Archives of General Psychiatry, 66(2), 181-188. [https://doi.org/10.1001/archgenpsychiatry.2008.532]
  • Putnam, R. D. (1995). Bowling alone: America’s declining social capital. Journal of Democracy, 6(1), 65-78. [https://doi.org/10.1353/jod.1995.0002]
  • Rheu, M., & Lee, S. (2016). Exploring achievement experiences on game and competence need satisfaction. Journal of Broadcasting and Telecommunications Research, 94, 37-70.
  • Ryu, S., & Jeong, E. (2001). A study on the influences of games in youth: Focusing on the heavy users. Studies on Korean Youth, 34, 35-64.
  • Shen, C., & Williams, D. (2011). Unpacking time online: Connecting Internet and massively multiplayer online game use with psychosocial well-being. Communication Research, 38, 123-149. [https://doi.org/10.1177/0093650210377196]
  • Steinkuehler, C. A., & Williams, D. (2006). Where everybody knows your (screen) name: Online games as “third places”. Journal of Computer-Mediated Communication, 11(4), 885-909. [https://doi.org/10.1111/j.1083-6101.2006.00300.x]
  • Valkenburg, P. M., & Peter, J. (2013). The differential susceptibility to media effects model. Journal of Communication, 63(2), 221-243. [https://doi.org/10.1111/jcom.12024]
  • Whang, S., Lim, J. H., & Kim, J. Y. (2005). Community and immersion in on-line game. Information Society & Media, 7, 69-81.
  • Wang, J., & Wang, X. (2019). Structural equation modeling: Applications using Mplus. John Wiley & Sons. [https://doi.org/10.1002/9781119422730]
  • Williams, D., Ducheneaut, N., Xiong, L., Zhang, Y., Yee, N., & Nickell, E. (2006). From tree house to barracks: The social life of guilds in World of Warcraft. Games and Culture, 1(4), 338-361. [https://doi.org/10.1177/1555412006292616]
  • Yee, N. (2006). The demographics, motivations, and derived experiences of users of massively multi-user online graphical environments. Presence: Teleoperators and Virtual Environments, 15(3), 309-329. [https://doi.org/10.1162/pres.15.3.309]
  • Yi, J. (2020). Game usage behavior of children and adolescent game users: Focusing on adaptive-use and over-immersion of games. The Journal of Learner-Centered Curriculum and Instruction, 20(18), 1473-1497. [https://doi.org/10.22251/jlcci.2020.20.18.1473]
  • Young, K. S. (1998). Caught in the net: How to recognize the signs of internet addiction and a winning strategy for recovery. Hoboken, NJ: John Wiley & Sons.

Appendix

부록

  • 권재원 (2004). 청소년의 게임중독 치료에서 게임유형 대체 요법의 효과에 대한 질적 사례연구. <청소년학연구>, 11권 3호, 93-114.
  • 김민규 (2018). 게임 법률의 제·개정을 통해 본 게임정책이 지향하는 의미 탐구. <문화경제연구>, 21권 2호, 53-88.
  • 김소정·권정혜 (2018). 일상생활에서의 정서경험과 게임동기가 인터넷게임행동에 미치는 영향: 생태순간평가 연구. <Korean Journal of Clinical Psychology>, 37권 4호, 573-589.
  • 김수영 (2016). 구조방정식 모형의 기본과 확장. 서울: 학지사.
  • 김여진 (2011). 청소년의 개인적 특성과 대인관계가 게임 과몰입에 미치는 영향에 관한 연구. 서울과학기술대학교 IT정책대학원 석사학위논문.
  • 김영범·이상호 (2019). 청소년의 Big Five 성격 유형과 자기 조절 성향이 게임 과용, 선용 행태에 미치는 영향. <한국산업정보학회논문지>, 24권 4호, 65-77.
  • 김주우·이혜림·정의준 (2015). 게임 이용자의 성격, 사회자본과 게임선용이 주관적 행복에 미치는 영향에 관한 연구. <한국컴퓨터게임학회 논문지>, 28권 4호, 135-142.
  • 김헌·장병희 (2020). 게임 이용이 삶의 만족도에 영향을 미치는가?: 선용적 몰입의 매개효과를 중심으로 한 탐색적 연구. <한국소통학보>, 19권 2호, 7-47.
  • 김현석·최순욱·이은주 (2019). 게임 이용이 청소년의 정신건강과 학업성적에 미치는 영향: 동적 패널 데이터 분석. <언론정보연구>, 56권 2호, 243-289.
  • 김혜영·유승호 (2019). 상호작용 의례 관점에서의 청소년과 게임에 관한 연구. <문화와 사회>, 27권 1호, 77-157.
  • 박조원·정헌일 (2013). 어린이, 청소년 게임 이용자의 심리적 특성이 게임 과몰입에 미치는 영향에 대한 연구. <한국콘텐츠학회논문지>, 13권 11호, 665-676.
  • 박현아·김형일·유승호 (2011).소셜 네트워크 게임(SNG)에서의 사회적 자본과 주관적 행복감에 관한 탐색적 연구. <한국게임학회 논문지>, 11권 4호, 105-116.
  • 박혜영 (2021). 잠재성장모형 (LGM) 을 통한 게임 이용량 예측을 위한 종단분석: 공격성, 자기통제, 자존감, 리더십의 영향관계를 중심으로. <한국소통학보>, 20권 3호, 321-373.
  • 배성만 (2015). 성별에 따른 청소년 인터넷 게임중독의 관련 요인. <청소년학연구>, 22권 8호, 385-405.
  • 백경민·유미현·강혜연·조문석 (2020). 사회적 관계가 게임 이용 행태에 미치는 영향: 게임 선용 정도와 게임 과몰입을 중심으로. <한국콘텐츠학회논문지>, 20권 4호, 77-85.
  • 백상기 (2019). 게임 이용동기, 게임 효능감, 게임 규범성 및 게임 인식이 게임선용에 미치는 영향에 대한 연구: 다층모형 분석을 중심으로. <한국언론정보학보>, 98권, 86-125.
  • 유민진·이수영 (2016). 온라인 게임을 통한 성취 경험과 게임 내 유능감 만족이 플레이어의 실제 삶 속 유능감에 미치는 영향. <방송통신연구>, 통권 94호, 37-70.
  • 유승호·정의준 (2001). 게임이용이 청소년에 미치는 영향에 대한 연구. <한국청소년연구>, 34호, 35-64.
  • 이강진·임정기 (2020). 게임이용 청소년의 게임경험과 사회자본의 발달궤적. <사회복지정책>, 47권 3호, 285-311.
  • 이상철·김남희·서영호 (2003). 온라인 게임에 있어서 몰입과 중독이 사용자 만족과 충성도에 미치는 영향. <경영학연구>, 32권 5호, 1479-1501.
  • 이승제·이대영·정의준 (2018). 확률형 아이템 게임 이용이 청소년의 게임 과몰입 변화에 미치는 영향: 자존감, 우울감, 자기통제, 물질가치 그리고 게임인식을 중심으로. <한국게임학회 논문지>, 18권 1호, 51-61.
  • 이자명 (2020). 아동· 청소년의 게임 이용 행태 분석: 게임 선용 및 과몰입을 중심으로. <학습자중심교과교육연구>, 20권 18호, 1473-1497.
  • 이혜림·정의준 (2015). 게임 이용자들의 자아 존중감, 게임 효능감, 사회 자본이 삶의 만족도에 미치는 영향에 관한 연구. <멀티미디어학회논문지>, 18권 9호, 1118-1130.
  • 이희경 (2003). 청소년의 게임 이용요인과 개인·사회적 요인이 게임 몰입과 게임 중독에 미치는 영향. <청소년학연구>, 10권 4호, 355-380.
  • 정환용 (2016, 5, 3). ‘게이머 ≒ 마약중독’ 성립하는 대한민국. <SmartPC사랑>. Retrieved from https://www.ilovepc.co.kr/news/articleView.html?idxno=12915
  • 조민식 (2012). 인터넷과 청소년 일상문화의 변형: 청소년 온라인 게임문화를 중심으로. <청소년문화포럼>, 30권, 84-99.
  • 조한익·조희원 (2013). 청소년의 게임행동과 자기주도성간의 관계분석. <청소년학연구>, 20권 6호, 127-146.
  • 진병준·이지혜 (2019). 청소년의 게임과몰입과 고독감의 종단적 관계: 잠재성장모형을 적용하여. <한국청소년연구>, 30권 3호, 155-184.
  • 최성락 (2019). 청소년의 게임 수행이 미래 행복도에 미치는 영향. <한국게임학회 논문지>, 19권 1호, 109-119.
  • 한국콘텐츠진흥원 (2010). 게임행동종합진단척도(CSG)메뉴얼.
  • 한국콘텐츠진흥원 (2011). 2011년 게임이용자 실태조사.
  • 한국콘텐츠진흥원 (2019). 2019년 게임이용자 실태조사.
  • 한국콘텐츠진흥원 (2021). 2021 게임이용자 실태조사.
  • 황상민·임정화·김지연 (2005). 온라인 게임에서의 공동체 경험과 몰입에 관한 연구, <정보사회와 미디어>, 7권, 69-83.